Task offloading in Internet of Things based on the improved multi-objective aquila optimizer

M Nematollahi, A Ghaffari, A Mirzaei - Signal, Image and Video Processing, 2024 - Springer
Abstract The Internet of Things (IoT) is a network of tens of billions of physical devices that
are all connected to each other. These devices often have sensors or actuators, small …

Optimizing Task Offloading with Metaheuristic Algorithms Across Cloud, Fog, and Edge Computing Networks: A Comprehensive Survey and State-of-the-Art Schemes

AM Rahmani, A Haider, P Khoshvaght… - … Informatics and Systems, 2025 - Elsevier
Abstract The Internet of Things (IoT) significantly impacts various industries, enabling better
connectivity and real-time data exchange for applications ranging from smart cities to …

Insights on the internet of things: past, present, and future directions

T Sutikno, D Thalmann - … Computing Electronics and Control), 2022 - telkomnika.uad.ac.id
The internet of things (IoT) is rapidly expanding and improving operations in a wide range of
real-world applications, from consumer IoT and enterprise IoT to manufacturing and …

An osmotic approach-based dynamic deadline-aware task offloading in edge–fog–cloud computing environment

PB Reddy, C Sudhakar - The Journal of Supercomputing, 2023 - Springer
Edge–fog–cloud computing system can be divided into edge or IoT layer (tier 1), fog layer
(tier 2) and cloud layer (tier 3). The devices at the edge layer generate different types of …

Cloud-Edge Framework for AoI-Efficient Data Processing in Multi-UAV-Assisted Sensor Networks

M Ma, Z Wang, S Guo, H Lu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Cloud and edge computing paradigms are increasingly being applied to data processing for
Internet of Things (IoT) sensors. Meanwhile, unmanned aerial vehicles (UAVs) can assist …

Decentralized Consensus in robotic swarm for Collective Collision and Avoidance

Y FengYing, A Din, L HuiChao, M Babar… - IEEE Access, 2024 - ieeexplore.ieee.org
In this paper, a decentralized consensus algorithm for a robotic swarm is presented, which
enable agents to escape collisions and avoid obstacles collectively. To achieve consensus …

IOTD: intelligent offloading of tasks with deadlines in edge-fog-cloud computing environment using hybrid approach

PB Reddy, C Sudhakar - Cluster Computing, 2024 - Springer
In light of the rapidly growing and advancing Internet of Things (IoT) technology, delay
sensitive tasks, deadline aware tasks, and power intensive IoT applications are on the rise …

A Deep learning-based rainfall prediction for flood management

M Babar, M Rani, I Ali - 2022 17th International Conference on …, 2022 - ieeexplore.ieee.org
Accurate prediction of rainfall remained a center of attraction for researchers and industries.
Its importance remained significant because of its effectiveness, as heavy and irregular …

Energy efficient resource management in data centers using imitation-based optimization

V Dinesh Reddy, GSVRK Rao, M Aiello - Energy Informatics, 2024 - Springer
Cloud computing is the paradigm for delivering streaming content, office applications,
software functions, computing power, storage, and more as services over the Internet. It …

Energy-Efficient Computation Offloading with Adaptive Modulation Index and Deadline-Aware Task Allocation in Multi-Access Edge Computing

S Chouhan - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Multi-access edge computing (MEC) has emerged as a pivotal paradigm to enhance the
efficiency of computation offloading by placing computing resources closer to data sources …